Multispectral and panchromatic image fusion based on improved bilateral filter

Aiye Shi; Lizhong Xu; Feng Xu; Chengrong Huang

doi:10.1117/1.3616010

1 January 2011 Multispectral and panchromatic image fusion based on improved bilateral

Aiye Shi, Lizhong Xu, Feng Xu, Chengrong Huang

Author Affiliations +

Funded by: National Natural Science Foundation of China

Journal of Applied Remote Sensing, Vol. 5, Issue 1, 053542 (January 2011). https://doi.org/10.1117/1.3616010

Abstract

Image fusion is of great importance to various remote sensing applications because many Earth observation satellites provide both high-resolution panchromatic (Pan) and low-resolution multispectral (MS) images. A number of fusion methods have been proposed, such as intensity-hue-saturation fusion and wavelet transform fusion methods. However, further studies are still necessary to improve the fusion performance for new types of remotely sensed images, such as IKONOS or QuickBird images. We propose an improved bilateral total variation filter method for fusing such MS and Pan images based on regularization. First, the constraints on the MS and Pan images are imposed based on the observation model. Then, the improved bilateral filter is used as an a priori model to constrain the high-resolution MS images. Finally, the steepest descent optimization algorithm is used to obtain the estimated MS images. Fusion simulations on spatially degraded IKONOS and QuickBird images, whose original MS images are available for reference, respectively, show that the proposed approach has better spatial quality while keeping the spectral information of the MS images.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Aiye Shi, Lizhong Xu, Feng Xu, and Chengrong Huang "Multispectral and panchromatic image fusion based on improved bilateral," Journal of Applied Remote Sensing 5(1), 053542 (1 January 2011). https://doi.org/10.1117/1.3616010

Published: 1 January 2011

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE